nlp engineer

<div>
 
 
 About the Role
 
 
 
 
 
 
 We are seeking an experienced AI/ML Developer Level II to join our Innovation &amp; Software Solutions team. In this role, you will be responsible for designing, developing, deploying, and optimizing enterprise-grade conversational AI solutions using the RASA framework, Python, and Google Cloud Platform (GCP). Working closely with cross-functional teams, you will build scalable, production-ready virtual assistants and intelligent automation solutions while driving continuous improvements in machine learning models, NLP performance, and MLOps practices. This is an excellent opportunity for a proactive developer who is passionate about conversational AI, cloud technologies, and delivering innovative AI-powered solutions at scale.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade conversational AI solutions using RASA Open Source and RASA Pro/X.
 </li>
 <li>
 Develop complex dialogue flows, NLU pipelines, custom actions, stories, and rules.
 </li>
 <li>
 Train, evaluate, fine-tune, and optimize NLP models to improve chatbot performance, intent recognition, entity extraction, and user experience.
 </li>
 <li>
 Build clean, scalable, and maintainable backend services and APIs using Python.
 </li>
 <li>
 Deploy, monitor, and manage AI applications on Google Cloud Platform (GKE, Cloud Run, Compute Engine, Pub/Sub, Vertex AI, Dialogflow, Cloud Speech-to-Text, and Text-to-Speech).
 </li>
 <li>
 Integrate conversational AI solutions with enterprise systems and third-party services.
 </li>
 <li>
 Contribute to CI/CD pipelines, automated testing, model versioning, and MLOps best practices.
 </li>
 <li>
 Analyze conversational data using BigQuery and leverage Cloud Storage for managing training datasets and model artifacts.
 </li>
 <li>
 Collaborate within an Agile development environment and mentor junior team members when needed.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
 </li>
 <li>
 Strong hands-on experience with Python and software engineering best practices.
 </li>
 <li>
 Proven experience developing conversational AI solutions using RASA.
 </li>
 <li>
 Hands-on experience with Google Cloud Platform (GCP) services.
 </li>
 <li>
 Strong understanding of Natural Language Processing (NLP) concepts, including intent classification, entity recognition, dialogue management, and context handling.
 </li>
 <li>
 Experience working with machine learning frameworks such as spaCy, scikit-learn, or Transformers.
 </li>
 <li>
 Proficiency with Git and collaborative software development workflows.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 <ul>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Knowledge of Terraform or other Infrastructure-as-Code tools.
 </li>
 <li>
 Experience implementing CI/CD pipelines and MLOps workflows.
 </li>
 <li>
 Google Cloud certifications, particularly Professional Machine Learning Engineer, are highly desirable.
 </li>
 </ul>
 
 
</div>

AI/ML Developer Level II

Siemens EDA (Siemens Digital Industries Software)

<div>
 Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design.
 
 
 
 Position Overview
 
 
 
 We are looking for a passionate
 
 AI/ML Software Engineer
 
 to join our technology and innovation team in Cairo, Egypt. You will be responsible for designing, developing, and deploying cutting-edge solutions that leverage modern programming languages, frameworks, and emerging AI/ML technologies. Working on both front-end and back-end development, you'll collaborate with partners and customers to deliver high-quality, cost-effective solutions while driving innovation in Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning&mdash;from concept to deployment.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, test, and deploy web applications and services using modern programming languages, frameworks, and tools for both front-end and back-end development.
 </li>
 <li>
 Develop products and prototypes in one or more of the following areas: Large Language Models (LLMs), Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML).
 </li>
 <li>
 Collaborate with partners and customers to deliver high-quality, cost-effective solutions.
 </li>
 <li>
 Drive the software development lifecycle by owning assigned features from concept to deployment, including design, code reviews, acceptance testing, and release.
 </li>
 <li>
 Produce innovative, high-quality software solutions for development teams and customers.
 </li>
 <li>
 Adhere to Siemens processes, quality standards, and engineering guidelines.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's, Master's, or Ph.D. degree in Computer Engineering, Computer Science, Mathematics, or a related field.
 </li>
 <li>
 Proven experience in developing web applications across diverse industries.
 </li>
 <li>
 Proficiency in one or more programming languages, such as Python, Java, and/or JavaScript. Experience with UI frameworks such as ReactJS and Angular is a plus.
 </li>
 <li>
 Strong understanding of data structures, data modeling, software architecture, and software design principles.
 </li>
 <li>
 Hands-on experience in web, cloud, and mobile application development for AI- and ML-based solutions.
 </li>
 <li>
 Hands-on experience designing and developing software applications for web, cloud, and IoT platforms, such as AWS, Google Cloud, Microsoft Azure, or IBM Bluemix.
 </li>
 <li>
 Experience with machine learning frameworks (e.g., Keras or PyTorch) and libraries (e.g., scikit-learn) is a plus.
 </li>
 <li>
 Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes, is a plus.
 </li>
 <li>
 Passion for writing clean, maintainable, and efficient code.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 Why Us
 
 
 
 At Siemens Software, flexibility is how we work&mdash;hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 
 Compensation &amp; Benefits
 
 
 
 The salary range for this position is $23, 900 to $47,800 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/
 
 
 
 Diversity &amp; Inclusion
 
 
 
 We value equal opportunities and welcome applications from people of all backgrounds. At Siemens, we believe that diversity of thought and experience drives innovation. We are committed to creating an inclusive workplace and ensuring that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations.
 
 
 Siemens Software. Transform the Everyday
 
 
</div>

AI/ML Software Engineer

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction. In this role, you'll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI/ML Vice President in our AI for Operations organization, you will help design, build, and scale cutting-edge Natural Language Processing (NLP) solutions that improve experiences for both customers and internal agents supporting the bank's day-to-day operations. You'll work hands-on across the end-to-end model lifecycle&mdash;partnering with product, engineering, operations, and risk stakeholders to translate real operational needs into production-grade language capabilities such as intelligent search, summarization, classification, and next-best-action recommendations.
Job Responsibilities:
<ul><li>Oversee the analysis of complex datasets to inform decisions on real-world applications.</li><li>Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
</li><li>Supervise data analysis activities and ensure effective visualizations are provided.</li><li>Ensure the writing and deployment of software code in production systems is efficient and meets standards.</li><li>Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
</li><li>Communicate complex issues clearly and credibly to senior management and stakeholders.
</li><li>Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.</li></ul>
<div>Required qualifications, capabilities and skills: 
<ul><li>Master's degree in computer Science, Machine Learning, or a related field with 4+ years experience OR Ph.D in computer Science, Machine Learning, or a related field with 2+ year of experience.
</li><li>Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps, Gen AI, LLMs.
</li><li>Solid understanding of core CS concepts, including common data structures and algorithms.</li></ul></div>
<div>Preferred qualifications, capabilities and skills: 
<ul><li>Experienced in conducting design and code reviews.</li><li>Proficient in cloud environments such as AWS, GCP, or Azure.</li><li>Experienced in managing and deriving insights from large, both unstructured and structured datasets.</li></ul></div> 
 
&ldquo;This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.&rdquo;
ABOUT US 
 
 
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM
 
 
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Applied AI ML-Vice President

propio

<div>Description: 
Propio Language Services is a provider of the highest quality interpretation, translation, and localization services. Our people take pride in every resource we offer, and our users always have access to cutting-edge technology, exceptional support, and collaborative user experiences. We are driven by our passion for innovation, growth, and bridging communication gaps in a diverse world. If you&rsquo;re passionate about delivering technology-driven solutions and building lasting client relationships while contributing to client growth, Propio could be the ideal place for you.
We are building AI-powered systems that enhance multilingual communication, improve interpreter workflows, and support next-generation AI applications across text, speech, and multimodal experiences.
Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI systems.
This is a hands-on technical role for someone who understands how to manage the full AI data lifecycle, from acquisition, curation, annotation, and quality control to evaluation datasets and post-training data, to directly improve model performance.
The ideal candidate can build scalable data pipelines, design high-quality annotation and QA processes, identify model failure modes, and close performance gaps through targeted data acquisition, curation, and synthetic data generation.
Key Responsibilities:<ul><li>
Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows.</li><li>
Design and build dataset curation pipelines for training, post-training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning.</li><li>
Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data.</li><li>
Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements.</li><li>
Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation.</li><li>
Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience.</li><li>
4+ years of experience in AI data, ML data operations, NLP data engineering, applied ML, speech/translation data, or LLM data workflows.</li><li>
Strong hands-on experience with Python, SQL, and dataset curation pipelines.</li><li>
Experience with annotation workflows, QA rubrics, evaluation datasets, or human-in-the-loop data processes.</li><li>
Familiarity with multilingual NLP, speech data, translation data, low-resource languages, conversational AI, or agentic AI datasets.</li><li>
Working knowledge of AWS data and ML tools such as S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, IAM, or KMS.</li><li>
Strong communication skills and ability to work with ML engineers, applied scientists, product teams, linguists, data teams, and vendors.</li></ul> 
Preferred Qualifications<ul><li>
Master&rsquo;s or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field.</li><li>
Experience with LLM post-training workflows such as SFT, instruction tuning, preference data, RLHF, DPO, reward modeling, or evaluation data generation.</li><li>
Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge workflows, or automated data quality scoring.</li><li>
Experience with modern annotation and data platforms such as Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop, or custom internal tooling.</li></ul></div>

AI Data Strategy Engineer / Applied Scientist, LLM Data

pointer infotech L.L.C

OverviewJoin our innovative team as an AI Engineer and be at the forefront of developing cutting-edge artificial intelligence solutions that transform data into actionable insights. In this dynamic role, you will design, implement, and optimize AI models and machine learning frameworks to solve complex problems across various domains. Your expertise will drive the deployment of scalable AI systems, leveraging big data technologies and cloud services to deliver impactful results. This position offers an exciting opportunity to work with advanced tools and methodologies in a collaborative environment dedicated to pushing the boundaries of AI innovation.Responsibilities<ul><li>Job Summary:</li><li>We are looking for an experienced AI Engineer / Senior AI Architect with strong expertise in Agentic AI, Conversational AI, and AI solution development. The ideal candidate will have hands-on experience building AI solutions across Microsoft and Google ecosystems.Key Skills &amp; Responsibilities:Develop Agentic AI solutions, conversational agents, and virtual assistants.Hands-on experience with Microsoft Foundry and Azure AI services.Experience with Azure AI Search, Azure AI Language, Power Platform, and Copilot Studio.Develop AI conversational solutions using Google Dialogflow CX, Google Conversational Agents, and Google CCAI Services.Build and integrate APIs and web services with AI applications.Experience with NLP, Generative AI, LLMs, and AI/ML.Develop and maintain SharePoint Online solutions using Microsoft Power Platform.Train, deploy, monitor, and optimize AI models.Create Looker dashboards for monitoring AI agent performance.Strong programming skills in C#, .NET, JavaScript, or Python.Ensure AI solutions follow security, privacy, governance, and responsible AI practices.Collaborate with business SMEs and cross-functional technical teams.Lead AI Proof of Concept (POC) initiatives and present AI solutions to stakeholders.Required Experience:5+ years of IT experience.2+ years of AI Conversational Agent implementation experience.1+ year of Power Platform experience.Mandatory: Agentic AI development using Microsoft Foundry.Mandatory: SharePoint Online + Microsoft Power Platform.Mandatory: Google Conversational Agents / Dialogflow CX / Google CCAI Services.Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.*</li><li>No Visa sponsorship is available this time</li></ul>Pay: $65.00 - $70.00 per hourWork Location: In person

AI Engineer

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Confidential

Role: : QA EngineerLocation: RemoteDuration: Long Term Contract Job Description:Overview:We are seeking a skilled  Quality Assurance (QA) Engineer with 3–7 years of experience in testing, QA, and reporting within the dynamic fields of Conversational AI and Agentic AI/LLMs. The ideal candidate will be passionate about ensuring the quality of cutting-edge AI systems, with a particular focus on conversational platforms, intelligent agents, and large language models (LLMs).  Mandatory Skills-Experience into any Manual and Automation testing.Experience into Conversational AI/ Chatbot.Experience into either Agentic AI or LLM (any one) Key Responsibilities:Develop and execute test cases, scripts, and procedures for both Conversational AI applications and Agentic AI/LLM systems. Collaborate with product managers, developers, and stakeholders to maintain quality standards throughout the product lifecycle. Conduct functional, regression, integration, and performance testing on Conversational AI platforms, agentic AI frameworks, and LLM-based solutions. Identify, document, and track defects using JIRA, providing detailed insights and reports on testing outcomes. Analyze business and technical requirements to design test strategies tailored to Conversational AI and Agentic AI/LLM use cases. Evaluate the usability, effectiveness, and scalability of AI-driven applications, offering actionable feedback. Generate comprehensive test reports and summaries for stakeholders, highlighting key findings and recommendations. Continuously improve QA methodologies to meet the evolving demands of Conversational AI and Agentic AI technologies.  Required Qualifications:3–7 years of experience in software testing and quality assurance, with expertise in Conversational AI and Agentic AI/LLMs. Strong understanding of standard testing practices, methodologies, and tools for AI applications. Hands-on experience with JIRA for defect tracking and project management. Proficiency in Excel for data analysis and reporting. Knowledge of functional and non-functional testing, including performance and security testing. In-depth familiarity with LLMs, agentic AI systems, and conversational technologies. Proven ability to work effectively in cross-functional teams within fast-paced environments. Excellent problem-solving and analytical skills.  Desired Qualifications: Experience with automated testing tools and scripting languages. Exposure to natural language processing (NLP) testing and validation of intelligent agents. Familiarity with version control systems.  Personal Attributes:Exceptional attention to detail and a strong commitment to quality. Excellent communication skills, both written and verbal. Self-driven and motivated to innovate within the AI domain. Ability to prioritize and manage multiple tasks in a dynamic, fast-evolving environment

QA Engineer

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